LGAI-EXAONE_EXAONE-4.0-32B_0.py

# /// script
# requires-python = ">=3.12"
# dependencies = [
#     "transformers",
#     "torch",
# ]
# ///

try:
    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-generation", model="LGAI-EXAONE/EXAONE-4.0-32B")
    messages = [
        {"role": "user", "content": "Who are you?"},
    ]
    pipe(messages)
    with open('LGAI-EXAONE_EXAONE-4.0-32B_0.txt', 'w') as f:
        f.write('Everything was good in LGAI-EXAONE_EXAONE-4.0-32B_0.txt')
except Exception as e:
    with open('LGAI-EXAONE_EXAONE-4.0-32B_0.txt', 'w') as f:
        import traceback
        traceback.print_exc(file=f)
finally:
    from huggingface_hub import upload_file
    upload_file(
        path_or_fileobj='LGAI-EXAONE_EXAONE-4.0-32B_0.txt',
        repo_id='model-metadata/custom_code_execution_files',
        path_in_repo='LGAI-EXAONE_EXAONE-4.0-32B_0.txt',
        repo_type='dataset',
    )